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The paper analyses the sources of income measurement error in surveys with a unique data set. We use the Austrian 2008-2011 waves of the European Union "Statistics on income and living conditions" survey which provide individual information on wages, pensions and unemployment benefits from survey interviews and officially linked administrative records. Thus, we do not have to fall back on complex two-sample matching procedures like related studies. We empirically investigate four sources of measurement error, namely social desirabil- ity, sociodemographic characteristics of the respondent, the survey design and the presence of learning effects. We find strong evidence for a social desirability bias in income reporting, whereas the presence of learning effects is mixed and depends on the type of income under consideration. An Owen value decomposition reveals that social desirability is a major expla- nation of misreporting in wages and pensions, whereas sociodemographic characteristics are most relevant for mismatches in unemployment benefits.

This paper investigates political representation by exploring the relationship between citizens' preferences and the preferences of their elected representatives. Using Swedish survey data, the empirical analysis shows that voters and politicians have significantly different preferences for local welfare services, implying that voters do not elect representatives with the same preferences as their own. The results show that when comparing a politician of a certain age, gender, educational level and marital status, with a voter with identical characteristics, the politician still has preferences for a significantly higher level of spending on the locally provided services. Hence our results indicate that the representation of different socio-economic groups does not necessarily lead to a larger degree of representation of these groups' agendas. Moreover, we find the observed difference to be largest for the least salient expenditure item. We do, however, not find any evidence for differences in preferences between the two groups being associated with a decline in trust for politicians among voters

The objectives of this study were to examine the association between patient perceived healthcare quality and self-reported medical, medication, and laboratory errors using cross-sectional and cross-national questionnaire data from eleven countries. In this research, quality of care was measured by a multi-faceted construct, which adopted the patient's perspectives. Five separated quality of care scales were assessed: Access to Care, Continuity of care, Communication of Care, Care Coordination, and Provider's Respect for Patients' Preferences. The findings from this investigation support a number of other published studies suggesting that Coordination of Care is an important predictor of perceived patient safety. After adjusting for potentially important confounding variables, an increase in peoples' perceptions of Coordination of Care decreased the likelihood of self-reporting medical errors (OR =0.605, 95% CI: 0.569 to 0.653), medication errors (OR =0.754, 95% CI: 0.691 to 0.830), and laboratory errors (OR =0.615, 95% CI: 0.555 to 0.681). Finally, results showed that the healthcare system type governing care processes modifies the effect of Coordination of Care on self-reported medication errors.

Do men and women receive different pay-offs, in terms of wage, from cognitive skills in the Swedish labor market? To answer this, the classical Mincer equation is expanded with a variable for cognitive skills (literacy and numeracy) and an interaction term between being a male and cognitive skills to be able to distinguish the actual difference in pay-off. I use data from OECD’s PIAAC survey of adult skills, which provides a unique opportunity to examine gender pay-off differences concerning cognitive skills. The results show that men have a larger pay-off than women once occupation is sufficiently controlled for

This dissertation collects five independent essays. The first essay is An Alternative Explanation of the Price Puzzle. The most widely accepted explanation of the price puzzle points to an inadequate performance of the VAR in forecasting inflation. This essay suggests that the finding of a price puzzle is due to a seemingly innocent misspecification in taking the theoretical model to the data: a measure of output gap is not included in the VAR (output alone being used instead), while this variable is a crucial element in every equation of the theoretical models. When the VAR is correctly specified, the price puzzle disappears. Building on results contained in the first paper, the second-- Stronger Evidence of Long-Run Neutrality: A comment on Bernanke and Mihov---improves the empirical performance of standard models on the prediction that a monetary policy shock should have temporary effects on output. It turns out that the same misspecification causing the price puzzle is also responsible for overestimation of the time needed for the effects on output of a monetary policy shock to die out. The point can be proven in a theoretical economy, and is confirmed on US data. Monetary Policy Without Monetary Aggregates: Some (Surprising) Evidence , joint with Giovanni Favara) is the third essay. It points to what seems to be a falsified prediction of models in the New-Keynesian framework. In this framework monetary aggregates are reserved a pretty boring role, so boring that they can be safely excluded from the final lay out of the model. These models predict that a money demand shock should have no effect on output, inflation and interest rate. However, the prediction seems to be quite wrong Inflation Forecast Targeting, joint with Paul Söderlind, takes a step outside the representative-agent framework. In RE models, all agents typically have the same information set, and therefore make the same predictions. However, in the real even professional forecasters show substantial disagreement. This disagreement can have an impact on asset prices and transaction volumes, among other things. However, there is no unique way of aggregating forecasts (or forecast probability density functions) into a measure of disagreement. The paper deals with this problem, surveying some proposed methods. The most appropriate measure of disagreement turns out to depend on the intended use, that is, on the model. Moreover, forecasters underestimate uncertainty. Constitutions and Central-Bank Independence: An Objection to McCallum's Second Fallacy, joint with Giancarlo Spagnolo , is an excursion into the field of Political Economy. The essay provides some foundations for the assumption that renegotiating a delegation contract can be costly by illustrating how political institutions can generate inertia in re-contracting, reduce the gains from it or prevent it altogether. Once the nature of renegotiation costs has been clarified, it is easier to see why certain institutions can mitigate or solve dynamic inconsistencies better than others. / Diss. Stockholm : Handelshögsk., 2001

Text mining is an enabling technology that will come to change the process for how businesses derive insights & knowledge from the textual data available to them. The current literature has its focus set on the text mining algorithms and techniques, whereas the practical aspects of text mining are lacking. The efforts of this study aims at helping companies understand what the business value of text mining is with the help of a case study. Subsequently, an SMS-survey method was used to identify additional business areas where text mining could be used to derive business value from. A literature review was conducted to conceptualize the business value of text mining, thus a concept matrix was established. Here a business category and its relative: derived insights & knowledge, domain, and data source are specified. The concept matrix was from then on used to decide when information was of business value, to prove that text mining could be used to derive information of business value.Text mining analyses was conducted on traffic school data of survey feedback. The results were several patterns, where the business value was derived mainly for the categories of Quality Control & Quality Assurance. After comparing the results of the SMS-survey with the case study empiricism, some difficulties emerged in the categorization of derived information, implying the categories are required to become more specific and distinct. Furthermore, the concept matrix does not comprise all of the business categories that are sure to exist.

Reports from the IPCC have been consistent in their findings: climate change is happening and human activity is the cause. The temperature of the earth’s climate has been steadily rising since the industrial revolution, with profoundly negative consequences for the natural environment. Britain is amongst the top 10 global contributors towards climate change, producing more CO2 per capita than China, and yet little is known about the relationship the British public have with the natural environment. Drawing upon DEFRA’s 2009 Survey of Public Attitudes and Behaviours Towards the Environment, a nationally representative sample of the UK, this study aims to (1) explore environmental attitudes in the DEFRA sample; (2) identify the types of environmental concern that exist in the UK and; (3) examine how environmental concern is associated with pro-environmental behaviours. The overall goal is to develop a better understanding this attitude-behaviour relationship. The thesis has 3 main findings. First, environmental concern is formed of three environmental attitudes: (a) a cognitive appraisal of plant and animal welfare (ecocentric attitude); (b) welfare of the human race (human-centric attitude); and (c) a prioritisation of the self, alongside dismissal of environmental problems (denial).Second, members of the British public can be assigned to one of four groups based on their environmental concern: Pro-environment, Neutral, Disengaged and Paradoxical (the latter 2 groups are apathetic towards environmental issues though in different ways).Third, when examining behaviour variation across these environmental concern groups, it was found, unsurprisingly, that membership of the pro- environmental group is strongly predictive of pro-environmental behaviour. What was surprising was that pro-environmental concern predicts a variety of behaviours, both easy and challenging (i.e. easy behaviour such as recycling household waste as well more challenging behaviour such as an increase use of public transportation over driving), whereas previous studies have typically found such behaviours to be unaffected by attitudes. Membership of the Neutral group also predicts pro-environmental behaviours, although this relationship is weaker and exists for fewer measures of behaviour. Disengaged and Paradoxical forms of concern are not significant predictors of behaviour. Upon examining the effect of socio-economic status (SES) on group membership and this attitude-behaviour relationship, it was found that SES does not moderate the attitude-behaviour relationship, but it does influence group membership. Respondents with higher SES were more likely to belong to neutral or pro-environment groups. After reviewing these findings, it is concluded that environmental attitudes do clearly predict behaviour, but a large portion of the UK population do not possess environmental attitudes strong enough to do so (the Disengaged and Paradoxical groups amount to 36% of the population). Future studies should focus on these apathetic groups in an attempt to understand them, determine effective methods of engagement and identify factors that increase the probability of members transitioning out of these groups.

<p>Biometric technology is used in daily life, for authentication purposes. Perceptions about the privacy and security of biometrics are of great interest (Olorunsola et al., 2020). Ho et al. (2003) specifically added privacy to their biometric acceptance model as a potential influence on intention to use the technology since privacy about biometrics was found to be peoples’ primary concern. Surveys of perceptions and use of technology (Buckley & Nurse 2019; Carpenter et al. 2018; Olorunsola et al. 2020) have used many different models to predict people's willingness to use biometrics. Venkatesh, Thong, et al (2012) used the reliable and valid UTUAT2 (Unified Theory of Acceptance and Use of Technology), a consumer-based model, with phone biometrics. Could the UTAUT2 model explain variance in intention to use phone biometrics? Phone biometrics are defined as biometrics used on a mobile smartphone but are referred to as phone biometrics throughout this study. A survey using the UTAUT2 basic questions was posed to <em>n</em> = 329 people who owned a mobile phone, lived in the United States, and used phone biometrics, to see if the model explained the “intention to use” phone biometrics. An example application of phone biometrics was biometrics used on a personal phone. Example use cases included using biometrics to unlock a phone, using fingerprints or face, or opening or authenticating specific applications within the phone.</p> <p><br></p> <p>Venkatesh developed the UTAUT2 model to explain the intention to use in a consumer setting. His earlier model (UTAUT) examined intention to use in an organizational setting. The challenge was that these models are old (the UTAUT2 model is almost ten years old at the time of writing), and phone biometrics is a rapidly changing consumer technology. The overarching research question is whether the UTAUT2 model can explain the intention to use phone biometrics. The results showed that UTAUT2 constructs accounted for 79.1% of the variation in intention to use phone biometrics. </p>

This thesis contributes practical and conceptual tools for discovering and understanding the variation of quantitative patterns in social and political survey data. It uses regression modelling as an exploratory method with a focus on deep rather than wide model specifications, i.e. on interaction terms rather than control variables. Our main research question is how can we learn from survey data with an exploratory approach of regression modelling. We also seek to answer two more specific questions, what sort of quantitative variations should an exploratory approach seek to model, and how do we deal with statistical uncertainty within an exploratory approach. Our work shows how to use regression modelling for exploratory purposes by interpreting the results descriptively, and connecting these summaries to theory through an act of interpretation. Using data from the Partirep electoral survey of the 2014 elections in Belgium, we illustrate how the emphasis on group variations and interactions has both empirical and theoretical value. We propose to summarise the results of exploratory modelling in a notebook containing a series of increasingly disaggregated prediction graphs. These notebooks help researchers to increase their domain numeracy, i.e. develop a quantitative understanding of the patterns in the data. Regarding statistical uncertainty, we mitigate the risks of modelling sampling noise by using standard errors of binned averages as precision hints that serve as an indication of excessive disaggregation. We also lay out the path for regularising the estimates of the final results with Bayesian models by exploring methods of including the sampling weights in these models. / Doctorat en Sciences politiques et sociales / info:eu-repo/semantics/nonPublished